Luke Thompson

According to our database, Luke Thompson authored at least 5 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

S³GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning.

Dai Shi, Luke Thompson, Linhan Luo, Lequan Lin, Andi Han, Junbin Gao, José Miguel Hernández-Lobato

CoRR, May, 2026

Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations.

Dai Shi, Luke Thompson, Andi Han, Peiyan Hu, Junbin Gao, José Miguel Hernández-Lobato

CoRR, March, 2026

Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations.

Dai Shi, Lequan Lin, Andi Han, Luke Thompson, José Miguel Hernández-Lobato, Zhiyong Wang, Junbin Gao

CoRR, January, 2026

2025

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics.

Luke Thompson, Davy Guan, Dai Shi, Slade Matthews, Junbin Gao, Andi Han

CoRR, October, 2025

2020

eduFUSE a Visualizer for User-Space File Systems.

Luke Thompson, Joel Clarke, Robert J. Sheehan

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020